MétaCan
Menu
← Back to cohort
Record W2327586678 · doi:10.1158/1538-7445.am2015-4701

Abstract 4701: NY-ESO T cells administered post ASCT for MM exhibit extended functionality without exhaustion in a natural pattern of effector and memory programming

2015· article· en· W2327586678 on OpenAlexaff
Aaron P. Rapoport, Edward A. Stadtmauer, Luca Melchiori, Ryan Wong, Eduardo Dávila, Gwendolyn Binder-Scholl, Tom Holdich, Dan T. Vogl, Brendan M. Weiss, Jeffrey Finkelstein, Simon F. Lacey, Sarah Bond, Marylène Fortin, Yoav Peretz, Joanna E. Brewer, Alan Bennett, Andrew B. Gerry, Nick Pumphrey, Helen K. Tayton-Martin, Lilliam Ribeiro, Ashraf Badros, Saul Yanovich, Nancy M. Hardy, Jean A. Yared, Naseem Kerr, Sunita Philip, Sandra Wesphal, Bruce L. Levine, Carl H. June, Michael Kalos, Bent K. Jakobsen

Bibliographic record

VenueCancer Research · 2015
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsComputer Research Institute of Montréal
Fundersnot available
KeywordsMedicineCD28ImmunologyAntigenImmunotherapyImmune systemMultiple myelomaOncologyCancerInternal medicineLeukapheresisT cellStem cellCD34Biology

Abstract

fetched live from OpenAlex

Abstract Adoptive immunotherapy for cancer has been limited by a lack of antigen specificity, low levels of target expression, and failure to break self-tolerance. We hypothesized that infusion of genetically modified tumor-specific T cells following autologous stem cell transplant (ASCT) may overcome these barriers for multiple myeloma (MM). To test this, we conducted a phase I/II clinical trial (NCT01352286) in which T cells engineered with an HLA-A*0201 restricted, affinity-enhanced TCR recognizing NY-ESO-1 / LAGE-1 peptides (NY-ESOc259-T), were infused in the setting of profound lymphodepletion that accompanies high-dose chemotherapy given with ASCT. HLA-A*0201 MM patients eligible for ASCT, with antigen positive tumor were enrolled. NY-ESOc259-T was manufactured in a 10 day process using anti-CD3/CD28 microbeads and lentiviral vector, and was administered two days following ASCT. IMWG criteria were used to assess response at day 100 with the addition of a near complete response category (nCR) due to the common occurrence of oligoclonal banding observed following rapid post-ASCT immune reconstitution. Blood and marrow samples were taken at multiple timepoints for serum cytokine analysis, NY-ESOc259-T persistence and trafficking, multiparameter flow analysis to examine the phenotype and function of NY-ESOc259-T, and tumor biomarker analysis. 25 of 29 enrolled patients were infused. A mean of 2.8 × 109 engineered cells were administered (range 8.3 × 108-4.2 × 109), and the average transduction efficiency was 33% (range 30%-45%). Patients tended to have advanced disease (64% chromosomal abnormalities, and 24% prior ASCT). At 3 months, 67% (16/24) and 58% (14/24) of patients were in VGPR and nCR or better, respectively. Infusions were well-tolerated and no cytokine release syndrome was reported. NY-ESOc259-T persisted at 6 months in all but one patient, and in a subset of patients at 2 years; marrow infiltration was consistently observed from day 7 through day 180. NY-ESOc259-T initially displayed a dominant activated effector phenotype which converted towards a dominant effector memory phenotype by 1 year post infusion, in a pattern that mirrored clinical responses. Persisting cells demonstrated a polyfunctional response (IFN-γ and TNF-α) with a cytotoxic (CD107a and granzyme B) signature without overexpression of exhaustion markers (PD-1, LAG-3, and TIM-3). Tumor biomarker analysis is ongoing. MM relapse occurred in 13/25 patients. This data show that NY-ESOc259-T cells exhibit robust trafficking and expansion, durable persistence without exhaustion, and follow a natural immune expansion and contraction pattern consistent with an antigen-driven mechanism of action. Relapse correlated with a loss of persistence or tumor antigen escape, suggesting that targeting multiple antigens and maintenance infusions may increase durable remissions. Citation Format: Aaron Rapoport, Edward Stadtmauer, Luca Melchiori, Ryan Wong, Eduardo Davila, Gwendolyn Binder-Scholl, Tom Holdich, Dan Vogl, Brendan Weiss, Jeffrey Finkelstein, Simon Lacey, Sarah Bond, Marylene Fortin, Yoav Peretz, Joanna Brewer, Alan Bennett, Andrew Gerry, Nick Pumphrey, Helen Tayton-Martin, Lilliam Ribeiro, Ashraf Badros, Saul Yanovich, Nancy Hardy, Jean Yared, Naseem Kerr, Sunita Philip, Sandra Wesphal, Bruce L. Levine, Carl June, Michael Kalos, Bent Jakobsen. NY-ESO T cells administered post ASCT for MM exhibit extended functionality without exhaustion in a natural pattern of effector and memory programming. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4701. doi:10.1158/1538-7445.AM2015-4701

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.120
GPT teacher head0.438
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueCancer Research→Same topicCAR-T cell therapy research→French-language works237,207→